Kenong Su

942 total citations
8 papers, 183 citations indexed

About

Kenong Su is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Kenong Su has authored 8 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Cognitive Neuroscience. Recurrent topics in Kenong Su's work include Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (4 papers) and Extracellular vesicles in disease (2 papers). Kenong Su is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (4 papers) and Extracellular vesicles in disease (2 papers). Kenong Su collaborates with scholars based in United States and China. Kenong Su's co-authors include Hao Wu, Tianwei Yu, Wenjing Ma, Zhijin Wu, Amelia Schroeder, Alexander C. Bashore, Mingyao Li, Michelle Y. Y. Lee, Muredach P. Reilly and Zhaohui Qin and has published in prestigious journals such as Bioinformatics, Human Molecular Genetics and Genome biology.

In The Last Decade

Kenong Su

8 papers receiving 182 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kenong Su United States	7	164	48	27	26	10	8	183
Shaliu Fu China	10	170 1.0×	48 1.0×	19 0.7×	29 1.1×	13 1.3×	15	228
Jay S. Stanley United States	4	137 0.8×	20 0.4×	44 1.6×	24 0.9×	9 0.9×	6	175
Zhuliu Li United States	5	177 1.1×	45 0.9×	27 1.0×	24 0.9×	34 3.4×	9	253
Anupriya Dalmia United Kingdom	2	92 0.6×	37 0.8×	17 0.6×	15 0.6×	10 1.0×	2	140
Justina Žurauskienė United Kingdom	6	223 1.4×	65 1.4×	26 1.0×	31 1.2×	29 2.9×	9	264
Pierre Boyeau United States	4	217 1.3×	36 0.8×	63 2.3×	38 1.5×	8 0.8×	5	243
Dongyuan Song United States	7	292 1.8×	81 1.7×	36 1.3×	36 1.4×	9 0.9×	16	330
Siyuan Chen Saudi Arabia	7	160 1.0×	44 0.9×	26 1.0×	33 1.3×	36 3.6×	11	235
Yuefan Huang United States	7	133 0.8×	23 0.5×	19 0.7×	26 1.0×	6 0.6×	12	191
Amogh P. Jalihal United States	4	404 2.5×	28 0.6×	45 1.7×	17 0.7×	18 1.8×	8	429

Countries citing papers authored by Kenong Su

Since Specialization

Citations

This map shows the geographic impact of Kenong Su's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kenong Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenong Su more than expected).

Fields of papers citing papers by Kenong Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenong Su. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kenong Su. The network helps show where Kenong Su may publish in the future.

Co-authorship network of co-authors of Kenong Su

This figure shows the co-authorship network connecting the top 25 collaborators of Kenong Su. A scholar is included among the top collaborators of Kenong Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenong Su. Kenong Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Su, Kenong, Vivek Kohar, Zhaohui Qin, et al.. (2022). NetAct: a computational platform to construct core transcription factor regulatory networks using gene activity. Genome biology. 23(1). 270–270. 25 indexed citations

2.

Schroeder, Amelia, Kenong Su, Michelle Y. Y. Lee, et al.. (2022). A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation. Nature Machine Intelligence. 4(11). 940–952. 51 indexed citations

3.

Jin, Yulin, Kenong Su, Ha Eun Kong, et al.. (2022). Cell type-specific DNA methylome signatures reveal epigenetic mechanisms for neuronal diversity and neurodevelopmental disorder. Human Molecular Genetics. 32(2). 218–230. 7 indexed citations

4.

Ma, Wenjing, Kenong Su, & Hao Wu. (2021). Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction. Genome biology. 22(1). 264–264. 26 indexed citations

5.

Su, Kenong, Qi Yu, Ronglai Shen, et al.. (2021). Pan-cancer analysis of pathway-based gene expression pattern at the individual level reveals biomarkers of clinical prognosis. Cell Reports Methods. 1(4). 100050–100050. 17 indexed citations

6.

Wu, Zhijin, Kenong Su, & Hao Wu. (2021). Non-linear Normalization for Non-UMI Single Cell RNA-Seq. Frontiers in Genetics. 12. 612670–612670. 4 indexed citations

7.

Su, Kenong, Tianwei Yu, & Hao Wu. (2021). Accurate feature selection improves single-cell RNA-seq cell clustering. Briefings in Bioinformatics. 22(5). 37 indexed citations

8.

Su, Kenong, Zhijin Wu, & Hao Wu. (2020). Simulation, power evaluation and sample size recommendation for single-cell RNA-seq. Bioinformatics. 36(19). 4860–4868. 16 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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